ABSTRACT
This work presents a dynamic time
threshold based scheme for voice calls in cellular networks In order to carry
out effective response of the dynamic time threshold scheme on cellular network
for improving the QoS, Globacom Mobile network in Abuja, Nigeria was used for
the experimentation. Abuja is located at longitude 7.491302°E, latitude
9.072264°N in Nigeria. The base station used for this study has a cell site id:
ABJ 002NC. The frequency of the network is 805.24MHz and the base station has a
transmitting power of 45.1dBm and the
base station is located at longitude 7.4037°E, latitude 9.0678°N in Abuja. The
measurements carried out from the investigative base station were the
performance indicators which include Traffic Channel Congestion Ratio, Call
Drop Ratio and Call Setup Success Ratio. The sample measurements were generated
from the BTSs which also provided the File Transfer Protocol (FTP) services to
the Network Management System (NMS). The NMS which is known as the iManager
M2000 was used to pull CSSR, CDR and TCH Congestion Ratio measurements for the
period of the study. The NMS is hosted on a central server which is connected
to other network elements such as BSC, BTS, MSC, HLR etc. The server with its
NMS software was configured to retrieve BTS measurements of remote MSCs and its
BSCs. The collated data from the Manager server were sorted and analyzed by the
codes written in Microsoft Visual Basic 2010 Express Edition programming
language for this analysis. The results obtained showed that busy hour TCH Congestion Ratio was 1.5993%
which is
within the expected threshold value of ≤ 2%. Also the busy hour CDR was 1.5425% and again is
within the expected threshold value of ≤ 2%. Finally the Busy hour CSSR was 98.8507% which is within
the expected threshold set by NCC. There was 2% improvement of traffic
channel congestion, call drop ratio and call setup success ratio when dynamic
time threshold scheme was applied. Efforts should be made to prohibit all
forms of promos in order to improve the quality of service delivery.
ESSIEN, E (2022). Improving The Quality Of Service (Qos) Of Cellular Networks Using Dynamic Time Threshold Scheme Analysis. Mouau.afribary.org: Retrieved Nov 23, 2024, from https://repository.mouau.edu.ng/work/view/improving-the-quality-of-service-qos-of-cellular-networks-using-dynamic-time-threshold-scheme-analysis-7-2
ESSIEN, ESSIEN. "Improving The Quality Of Service (Qos) Of Cellular Networks Using Dynamic Time Threshold Scheme Analysis" Mouau.afribary.org. Mouau.afribary.org, 05 Oct. 2022, https://repository.mouau.edu.ng/work/view/improving-the-quality-of-service-qos-of-cellular-networks-using-dynamic-time-threshold-scheme-analysis-7-2. Accessed 23 Nov. 2024.
ESSIEN, ESSIEN. "Improving The Quality Of Service (Qos) Of Cellular Networks Using Dynamic Time Threshold Scheme Analysis". Mouau.afribary.org, Mouau.afribary.org, 05 Oct. 2022. Web. 23 Nov. 2024. < https://repository.mouau.edu.ng/work/view/improving-the-quality-of-service-qos-of-cellular-networks-using-dynamic-time-threshold-scheme-analysis-7-2 >.
ESSIEN, ESSIEN. "Improving The Quality Of Service (Qos) Of Cellular Networks Using Dynamic Time Threshold Scheme Analysis" Mouau.afribary.org (2022). Accessed 23 Nov. 2024. https://repository.mouau.edu.ng/work/view/improving-the-quality-of-service-qos-of-cellular-networks-using-dynamic-time-threshold-scheme-analysis-7-2